Barriers to the use of technological innovations in higher education teachers from data mining.

Abstract

This research focused on identifying behavior patterns among the professors of the Universidad Juárez Autónoma de Tabasco when facing barriers in the use of technological innovations in the educational context. Data mining was used to analyze a relevant data set and apply techniques such as decision trees, clustering, and association rules. The study demonstrated the usefulness of technological innovations, but also pointed out challenges and limitations that need to be addressed. It is crucial to overcome these obstacles to maximize the potential of technologies in education and support teachers. The results and conclusions may be applicable in other educational settings.